Hacktoberfest 2026: the issues maintainers tagged for October, open and beginner-friendly. Browse Hacktoberfest issues

Using `types` classes over `collections.abc`'s bases

Open
#1,480 11 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
30/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
python
Domain
devtools

Research direction

Start by reviewing the collections.abc.pyi classes and the linked typeshed and CPython pull requests. Then examine how type checkers infer generator, coroutine, and async-generator functions. Done means the abstract and concrete types have the proposed runtime and inference behavior across the identified changes.

Written by the indexing model from the issue text.

Description

topic: other

Currently collections.abc.Generator/Coroutine/AsyncGenerator etc. have attributes that don't have to exist at runtime. I think it'd be wise to switch recommending to using the types concrete classes where possible over the abstract versions which have a smaller interface because having this weird sort of duplication where the 2 are basically the same is a wrinkle that's bitten me recently. To do this I think a few things need to happen:

  1. make the classes in collections.abc.pyi Protocols that should be based on their runtime implementation (they implement custom __subclasshook__) and not the concrete types. (https://github.com/python/typeshed/pull/10816)
  2. make the types classes subscriptable at runtime. (https://github.com/python/cpython/pull/110212)
  3. make type checkers infer things like def foo(): yield as types.GeneratorType and not just collections.abc.Generator.

(as a small aside it might be nice to move the type implementations from typing to collections.abc soon)

refs: https://github.com/microsoft/pyright/issues/6053

Dominant language
Python
Stars
1.8k
Forks
302
Avg merge
23h
Merged PRs (30d)
8

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from python/typing

All issues in python/typing

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.